Business Model of Zerodha: Complete Strategy Breakdown 2026
Last Updated on July 30, 2026 by Ashish Khan The business model of Zerodha is…
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Our Readymade Solutions are built to execute your business idea into a successful growth story in no time.
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Our IT Services are designed for immediate implementationโempowering your business with proven expertise, streamlined processes, and rapid results to drive your growth from day one.

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Nothing less than wonderful is what we do and what people have to say.
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Build your own Zerodha-style trading platform with a white-label solution powered by eight broker integrations, real-time WebSocket market data, and a built-in algorithmic trading engine. Launch faster, customize everything, and scale with confidence.
Equity, F&O, commodities, currency, ETFs, IPOs, mutual funds and bonds โ one platform, every Indian market segment. Ready for international expansion when you are.
Go Live in 6 Days with Multi-BrokerAlgo-ReadyReal-TimeSEBI-AlignedWhite-LabelAPI-First
โก Platform at a Glance
Zerodha, Upstox, 5 Paisa, Alice Blue, Angel One, ICICI Direct, Groww and a Demo broker โ one unified order layer.
Equity, futures, options, commodities, currency, ETFs, IPOs, mutual funds and bonds in a single interface.
Breakout, mean reversion, momentum, grid and scalping โ with paper trading before any capital is risked.
Five aggregated data sources delivered over WebSocket with Redis fan-out and automatic source failover.
JavaScript, Python, Ruby, PHP, Java, C# and Go โ so your traders build in the language they already use.
70+ frontend pages and 28+ admin sections, production-tested and ready to configure rather than build.
๐ Ready to launch your own Zerodha-style trading platform?
Live in Action
Don’t just take our word for it โ open the Miracuves Zerodha Clone yourself. Four live environments, real credentials, no setup required. Explore every product layer before you commit.
TRADER WEB APP
Full trading terminal โ live order entry, market depth, options chain, positions, holdings and real-time P&L across every connected broker.
INVESTOR PORTAL
Built for delivery investors โ mutual fund SIPs, IPO applications, portfolio analytics, tax reports and sector allocation in one view.
ADMIN DASHBOARD
28+ operational sections โ user and KYC management, broker connections, risk controls, finance, audit logs and system health.
ANDROID APP
Branded mobile trading with push notifications for order fills, price alerts and margin calls, plus biometric login and offline portfolio view.
Watch It Work
Want a guided tour? Book a 30-minute call with our team and map your trading platform launch โ broker set, market segments, algo strategies and go-live timeline.
Every Screen Mapped
Understand exactly how each part of the platform works. Explore the step-by-step flows for traders, investors, administrators and broker operators.
























































Want a guided walkthrough of any specific flow?
Client Voices
Feedback from founders and brokerages who launched trading platforms with Miracuves. Client identities withheld under NDA.
Proof in Production
How a trading operator launched a multi-broker platform on the Miracuves Zerodha Clone. Client identity withheld under NDA.
Confidential Deployment
Multi-Broker Trading Platform
A production trading platform connecting multiple Indian brokers under one unified order layer.
"Fast, scalable, and built for real users โ Miracuves gave us a strong market entry."
The Basics
A Zerodha Clone is a ready-made, white-label trading platform that recreates the core experience of Indiaโs leading discount broker โ order placement, live market data, portfolio tracking, watchlists and charting โ while adding capabilities that most single-broker applications never offer. It is a working product foundation rather than a template or a UI kit.
Responsive web platform, branded Android app and a 7-language SDK โ one backend serving every surface.
Equity, futures, options, commodities, currency, ETFs, IPOs, mutual funds and bonds under one login.
Adding a broker means writing one adapter โ orders, trades and positions never change.
Built for Web, Android & API
The architectural difference is what matters commercially. Rather than binding your platform to one brokerage, it sits above eight broker APIs behind a unified abstraction layer. Your users connect the accounts they already hold and see one portfolio, one order book and one profit-and-loss statement across all of them. Adding a broker later means writing a single adapter, not reworking your order engine.
Everything a modern trading operation needs is included as part of the same system โ algorithmic execution with five pre-built strategies, real-time WebSocket data aggregated from five sources, social and copy trading, dual payment gateways, comprehensive reporting, and a twenty-eight section admin console. Because it shares one data model rather than stitching separate tools together, orders, positions, payments and reports reconcile against each other by construction.
Everything Included
Our Zerodha Clone ships with everything traders expect from a modern Indian broking platform โ and everything operators need to run it profitably from day one.
Market, limit, stop-loss and SL-M orders with day and IOC validity, modification and instant cancellation.
Bracket, cover, AMO, basket, iceberg and smart-routed orders for disciplined execution and reduced market impact.
Server-side triggers that fire even when the user is offline. Single-leg, two-leg and OCO conditions supported.
Eight broker integrations behind one unified order layer. Add a broker without touching order, trade or position logic.
Five pre-built strategies with visual configuration, paper trading, live deployment and real-time performance dashboards.
Five aggregated sources, WebSocket delivery under 200ms, 5x5 market depth and multiple candle timeframes.
Full options chain with delta, gamma, theta and vega per position, IV rank and a multi-leg strategy builder.
Holdings, positions and margin aggregated across every connected broker with live mark-to-market P&L.
Per-user limits, progressive margin warnings at 80/90/100%, automated square-off and a full audit trail.
Community feed, forum, leaderboard and copy trading with configurable position sizing and risk limits.
P&L statements, capital gains, turnover and tax reports exportable to PDF, Excel and CSV.
JavaScript, Python, Ruby, PHP, Java, C# and Go โ with API keys, scopes, rate limits and webhooks.
Every capability above is included in the base platform โ no feature gating, no per-module licensing.
How Operators Earn
A trading platform earns in more ways than brokerage alone, and the operators who do well are usually the ones who build several revenue lines rather than depending on transaction volume. Every lever below is supported natively and configured from the admin console.
Operator-defined brokerage per segment and per broker, with slab structures and tier overrides configurable in admin.
Free through Institutional plans gating broker count, algo strategies, order limits and API access.
Programmatic access sold by rate limit and scope โ a natural B2B revenue line for algo traders and partners.
Earn recurring revenue when users open broker accounts through your platform, by volume or flat referral fee.
Apply transaction fees on deposits and withdrawals across Razorpay, Stripe and direct UPI rails.
License your branded platform onward to partner brokers, with usage-based pricing that scales as they grow.
None of this requires code changes or a redeployment. Brokerage slabs, subscription tiers, API rate limits and referral arrangements are all operator-configurable, so you can adjust pricing as you learn what your market actually pays for.
Run It Without a Dev Team
A trading platform only becomes commercially useful when it is easy to operate. The admin console covers 28+ sections so a small team can run a multi-broker operation without building internal tooling.
Create, suspend and delete accounts, assign roles, force logout and export user data for compliance.
Document preview, approve or reject with reason codes, request resubmission and track status per user.
Add credentials, test connections, set commission structures and monitor real-time broker API health.
View every order and position platform-wide, with cancel authority and full audit attribution.
Position size caps, daily loss limits, margin thresholds and automated square-off rules per user.
Double-entry ledger, brokerage revenue, invoice generation and payment gateway configuration.
Configure and test the five data sources, manage failover order and maintain the instrument master.
Database, Redis, WebSocket and BullMQ job status with queue depth and failed-job recovery.
Toggle features per environment with percentage rollouts and A/B variants โ no deployment needed.
Immutable log of every admin action with before/after state, filterable and exportable for regulators.
Feature flags let you roll changes out gradually by environment or user segment without a deployment.
Transparent Pricing
Building a Zerodha-style multi-broker trading platform with Miracuves typically starts from around $15,999 for a launch-ready white-label Zerodha Clone and increases based on features, broker set, market segments, compliance scope and infrastructure complexity.
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is right for you?
Talk to us โ we'll understand your goals, timeline, and budget, and point you to exactly what you need. No upselling, just honest advice.
The Full Package
When you choose the Miracuves Zerodha Clone you don’t get a single build โ you get a complete, deployable trading system with source code and documentation.
Next.js 16 frontend with 70+ pages covering trading, portfolio, markets, social and payments.
Branded mobile trading with push notifications, biometric login and offline portfolio caching.
60+ modules covering orders, positions, holdings, brokers, market data, risk, payments and social.
28+ operational sections with role-based access and complete audit logging.
pnpm + Turborepo monorepo with shared type, UI, database and order packages โ yours to modify.
JavaScript, Python, Ruby, PHP, Java, C# and Go client libraries with generated API docs.
ERD, schema interpretation, API collection, developer handbook, VAPT posture and whitepaper.
Docker and Kubernetes configs for cloud, on-premise or hybrid, with launch support included.
Everything is handed over. There is no hosted dependency on Miracuves once you are live.
Know Your Buyer
The platform is designed for operators who want trading infrastructure without building it โ from fintech founders launching their first product to established brokerages modernizing their stack.
If your business depends on market access, execution quality, client trust and recurring revenue, a trading platform is infrastructure โ not a feature.
Where It Fits
Launch a low-cost broking product with your own brokerage structure, targeting retail traders who want a modern interface and access to every market segment from a single login. You control pricing, positioning and the customer relationship rather than renting it from an incumbent platform.
Multi-Broker Aggregation Platform
Serve the traders who already hold two or three broker accounts and reconcile their portfolios by hand. One order book, one consolidated profit-and-loss statement and one watchlist across every connection โ this is the gap no mainstream Indian platform currently fills.
Algo & Quant Trading Product
Package the algo engine and SDK ecosystem as a standalone product for quantitative traders. Monetize through strategy slots, API rate tiers and paper-trading access, targeting users who currently maintain their own broker connectors and would rather not.
Advisory & Managed Accounts Desk
Equip advisors managing multiple client accounts with bulk order placement, per-client portfolio segmentation and consolidated compliance-ready reporting. The operational time saved on daily reconciliation is usually the argument that closes this segment.
Social & Copy Trading Network
Build a community-first trading product around the leaderboard, activity feed and copy-trading engine. Social features drive retention and referral in a category where acquisition costs are high and switching is otherwise easy.
White-Label for Partner Brokerages
Deploy under a partner brokerage’s brand with their broker set, their fee structure and their compliance requirements. White-label licensing turns the platform into infrastructure that others build businesses on, at materially higher contract values.
Education, Research & Portfolio Tools
The same engine also supports adjacent models โ trading education platforms that need a working product alongside their content, research and advisory businesses distributing calls through a real interface, and broker-agnostic portfolio tools for users who want visibility without changing brokers.
Trading is no longer a niche activity for Indian consumers. It has become mainstream financial behaviour, and in that market the platform that owns the interface owns the relationship, the data and the pricing power.
Market Timing
Retail participation in Indian markets has grown substantially, algorithmic execution keeps taking share of overall volume, and a new generation of traders expects real-time, mobile-first, socially connected platforms as a baseline rather than a differentiator. Operators still running legacy infrastructure are structurally disadvantaged in that environment โ not because their brokerage is worse, but because the experience around it is.
Build a branded platform where you control the interface, the fee structure, the customer data and the pricing power โ instead of renting distribution from an incumbent.
No mainstream Indian platform unifies broker accounts today. Traders holding two or three logins reconcile portfolios by hand, which is a real and unaddressed problem.
Retail algo traders either hand-code broker connectors or pay high fees to third-party platforms with thin coverage. Built-in strategies plus an SDK removes both barriers at once.
SEBI-aligned KYC, retention and audit infrastructure is painful to retrofit and slow for competitors to match. Building it in from the start is a durable advantage.
Subscription tiers, API access plans and broker referral income diversify away from per-trade economics, which matters when volumes are seasonal and competition compresses pricing.
Broker integrations, real-time market data, order management and risk enforcement already exist, tested and documented. That is the part teams consistently underestimate.
The window matters. User acquisition in fintech is expensive and compounding: platforms that launch credible products early capture attention and word-of-mouth that late entrants have to buy back through marketing spend. An eight to twelve month delay is not neutral โ it is the cost of the users your competitors sign in the meantime.
Under the Hood
Under the hood, a Zerodha-style trading platform needs low-latency market data, transactional integrity and horizontally scalable APIs. Miracuves uses a modern, deployment-ready technology stack built for order execution, real-time feeds and operator control.
Next.js 16 (Web) ยท Android (Mobile)
NestJS (TypeScript)
PostgreSQL 16 / Prisma
Socket.io ยท Redis Pub/Sub
BullMQ ยท Redis
Docker ยท Turborepo ยท CDN
Note for Tech Buyers: the stack is deliberately mainstream โ Next.js, NestJS, PostgreSQL and Redis. Your internal team can extend modules, add broker adapters, integrate third-party tools and move between clouds without depending on a proprietary framework or niche skill set.
End to End
A trading platform feels simple on the surface but runs on a structured pipeline underneath. Here is the path from signup to settled trade.
New users create an account and complete regulatory KYC before any trading permission is granted.
The trader links any of the eight supported brokers and the platform validates the connection immediately.
Holdings, positions, margin and fund balances are pulled from every connected broker into one unified model.
Before anything reaches the exchange, the order passes pre-trade risk and margin validation.
Each fill writes an immutable trade record with the complete charge breakdown.
T+1 settlement flows into holdings and every record becomes export-ready for tax and audit.
Visual Flow Diagram
Trader LoginโBroker SetupโLive Market DataโOrder ExecutionโPositions & HoldingsโRisk & LedgerโReports & Analytics
How It's Built
Every broker implements one adapter interface. Orders, trades and positions never change when a broker is added or swapped.
Validation โ risk check โ margin verification โ broker submission โ fill reconciliation, each stage independently observable.
Five sources aggregate into Redis, then fan out over Socket.io to subscribed clients with automatic source failover.
BullMQ queues separate order execution, market data, notifications, reporting and audit sync by priority.
A unified payment record abstracts Razorpay and Stripe, so the margin engine never depends on a processor.
Fund transactions, trade records and audit logs are append-only, giving forensic-grade traceability for regulators.
Performance Targets
Trading platforms fail in public. When markets gap at the open, or a result announcement sends volume through a single scrip, the platform is judged on the worst thirty seconds of the day rather than the average. The architecture below is designed for that peak, not for a quiet Tuesday afternoon.
Order placement targets sub-500ms latency from click to broker acknowledgement, with API reads under 100ms and writes under 300ms at the 95th percentile. The order path is deliberately kept free of non-essential work โ market data enrichment, notification dispatch and reporting all move to background queues so nothing blocks an execution.
WebSocket capacity runs to 10,000 concurrent connections per instance, scaled horizontally through the Redis adapter so multiple server processes share room state. Clients reconnect automatically with exponential backoff and perform a delta sync on reconnect, so a dropped connection during volatile trading does not leave a trader looking at stale prices.
Market data targets sub-200ms end-to-end delivery from exchange feed to user dashboard. Five sources are aggregated behind one interface, and if the primary degrades the platform fails over to a secondary within five seconds โ a trader should never be the person who discovers your data provider is down.
API servers and queue workers are stateless, so they scale independently of each other. You run more order-execution workers through the trading session and fewer overnight, while reporting and audit-sync workers run on the opposite schedule. Capacity follows the market rather than sitting idle at a fixed size.
Target latency from click to broker acknowledgement stays under 500ms, with API reads under 100ms and writes under 300ms at the 95th percentile.
Per-instance connection capacity, scaled horizontally through the Redis adapter, with automatic reconnect and delta sync so dropped clients never see stale prices.
Target end-to-end delivery from exchange feed to user dashboard, with automatic failover to a secondary source inside five seconds if the primary degrades.
API servers and queue workers scale independently โ more order-execution workers through the session, more reporting workers overnight, capacity following the market.
Orders, trades, OHLCV candles and audit logs are designed for time-based partitioning from day one, because retrofitting it onto a live trading database is not comfortable.
Graceful degradation when a single broker API fails, health and readiness probes for orchestration, and queued retry with backoff rather than dropped orders.
The high-volume tables โ orders, trades, OHLCV candles and audit logs โ are designed for time-based partitioning from the outset. A single instrument on one-minute candles generates roughly 288 rows per trading day; across a few thousand instruments that compounds quickly, and retrofitting partitioning onto a live trading database is not a comfortable exercise.
Note for founders and CTOs: you can start on a single node and scale out later without re-architecting. Nothing in the design assumes a fixed topology, a single region, or a particular cloud โ the same codebase runs on one container or across an autoscaling cluster.
Built to Be Audited
When you run a trading platform you are handling client funds, KYC documents and order flow. Security is designed in from the data model up โ and documented well enough to survive enterprise procurement.
SEBI-Aligned Operational Compliance
Payment Security & PCI Scope Reduction
Multi-Layer Rate Limiting & Abuse Prevention
Input Protection & Injection Defence
Data Privacy, Export & Erasure
Broker Credential Vault
Every category from broken access control to SSRF mapped to an implemented control with evidence.
A complete security posture document for buyer due diligence, with annual third-party penetration testing.
AES-256 at rest, TLS 1.2+ in transit, bcrypt password hashing and no card data stored locally.
15-minute JWT tokens, refresh rotation, TOTP 2FA, OAuth, progressive lockout and login anomaly detection.
Four-tier model โ USER, BROKER_ADMIN, ADMIN, SUPERADMIN โ enforced server-side by named route guards.
Append-only logs of every admin action, KYC transition and broker connection, with configurable retention.
Note for Serious Operators: from client funds and KYC documents to broker credentials and order flow, every sensitive surface is encrypted, access-controlled and audit-logged.
Go Further
Out of the box the platform is complete and ready to launch. The modules below are the ones operators most often add once they know their market โ either to reach a segment the base product does not cover, or to differentiate against competitors running similar infrastructure.
Fully native mobile clients built as a separate project alongside the responsive web application that ships with the base platform.
Extend beyond INR to US equities and other international segments, with multi-currency positions, settlement and reporting throughout.
Mandate setup ships in the base product. Full auto-debit execution against a recurring SIP schedule is the add-on that completes the flow.
Leveraged IPO applications and margin funding against existing holdings, with the exposure, limit and repayment logic that lending requires.
Automated delta and gamma hedging against a live options book, extending the Greeks the platform already calculates and surfaces.
A two-sided marketplace where quantitative traders publish strategies and subscribers deploy them, with revenue share handled on the platform.
Basel-aligned exposure reporting, stress testing and capital-adequacy analytics for deployments serving institutional trading desks.
Adapters beyond the eight shipped broker connections, plus interface languages beyond English and Hindi, built to the existing adapter and locale patterns.
The Zerodha Clone is one platform in a complete financial technology suite. If your roadmap extends beyond trading, these connect naturally.
Full digital banking and BaaS platform โ multi-currency accounts, cards, FX and compliance controls.
Cross-border remittance with multi-currency wallets, transparent FX and KYC-ready onboarding.
Branded digital-first banking for regional and niche market launches.
Crypto exchange platform for operators adding digital assets alongside equities.
The Commercial Case
A trading platform is not only a technology product โ it is a recurring-revenue business with unusually high switching costs. Once a user has connected their brokers, built watchlists, configured alerts and deployed strategies, moving to a competitor means rebuilding all of it. Retention compounds in a way it simply does not for most consumer software.
Once users connect brokers, build watchlists and run strategies, moving platforms is genuinely painful. Retention compounds.
Brokerage, subscriptions, API tiers, referral income and payment margin โ diversified from day one.
Retail participation and algo share are both rising in Indian markets, expanding the addressable base.
Retail launch first, then white-label licensing to partner brokers at materially higher contract values.
Per-trade brokerage configured per segment; subscription tiers gating broker count and algo access; API plans sold by rate limit; broker referral share; and transaction margin on deposits and withdrawals.
Every connected broker deepens lock-in, every deployed strategy raises switching cost, and every white-label partner turns the platform into infrastructure others build on.
Example Revenue Scenarios
These are not promises, but realistic business patterns trading platforms can aim for based on active-trader base, pricing tiers, broker partnerships, API adoption, and market execution.
Model A โ Focused Broking Platform
~ Subscription + brokerage potential
Revenue can come from monthly subscription tiers, per-trade brokerage, premium analytics, and paid alert packs.
Best suited for niche broking startups, regional trading platforms, advisory-led communities, trading educators, and early-stage operators validating demand before scaling acquisition.
Model B โ Multi-Broker Aggregator
~ Subscription + API + referral model
Revenue can come from tiered subscriptions, API access plans, broker referral share, premium data packs, and copy-trading fees.
Best suited for funded fintech startups, multi-broker aggregators, algo communities, wealth platforms, and operators scaling beyond an initial trader base.
Model C โ Enterprise & White-Label
Full platform revenue engine potential
Revenue can come from a stronger mix of subscriptions, brokerage, API tiers, white-label licensing, enterprise deployments, and partner revenue sharing.
Best suited for established brokerages, financial institutions, large fintech brands, prop desks, and SaaS operators licensing the platform onward to their own clients.
Why Miracuves
There are many ways to build a trading platform: generic scripts, freelancers, agencies, or white-label infrastructure.
Six days to deployment against 12โ18 months for an internal build of equivalent scope.
Eight integrations already absorbed โ the part teams consistently underestimate and most scripts skip entirely.
The complete monorepo is yours to modify, extend and deploy. No vendor lock-in, no roadmap dependency.
ERD, schema, API collection, developer handbook and VAPT posture โ enough to pass procurement review.
OWASP-mapped controls, encrypted broker credentials and immutable audit trails, not bolted on afterwards.
Cloud, on-premise or hybrid โ including Indian data residency for operators with regulatory constraints.
| Criteria | Miracuves Zerodha Clone | Generic Clone Script | Custom Dev Agency |
|---|---|---|---|
| Time to Launch | 6 days (Production) | Unknown / DIY | 6โ9+ months |
| Source-Code Ownership | โ Full | Often limited / encrypted | Usually yes |
| Feature Depth (Zerodha-like) | High (multi-broker, algo, real-time data) | Basic (basic order & feed only) | Depends on budget |
| Security & Compliance | Strong (ISO mindset, GDPR-ready) | Minimal | Varies widely |
| Scalability & Performance | Cloud & CDN-optimized | Rarely considered | Depends on architecture |
| Monetization Options | Multiple (ads, gifts, subs) | Limited / needs custom work | Custom (more time & cost) |
| Admin & Analytics | Full-fledged dashboard | Very basic or missing | Custom build (extra cost) |
| Cost vs Speed vs Quality | Balanced | Cheap but risky | High cost, slow |
| Ongoing Support & Updates | Available with clear plans | Usually none | Depends on contract |
Not every route to a trading platform ends in a product you can actually operate. Here is where we differ.
Industries
The Zerodha Clone suits any operator entering or expanding within the trading, investment and financial technology ecosystem. Stock trading startups launch branded platforms for retail participants. Fintech companies bolt a trading layer onto an existing product. Broker-dealers modernize client-facing systems without touching the back office. Algo trading businesses package strategy tooling for quantitative users. Trading educators wrap a working product around their content. WealthTech platforms add portfolio analytics and investment workflows. Proprietary desks run internal trading operations with proper oversight. White-label agencies deploy branded fintech products for their own clients.
Miracuves’ Zerodha Clone is built as a high-performance, broker-agnostic trading platform that adapts to the market you are actually operating in โ Indian capital markets by default, with international exchange integrations available as a customization. Whether you are launching a discount broking product, extending an existing fintech offering, or deploying under a partner’s brand, the same foundation supports it. What changes is the configuration, the branding and the commercial model, not the underlying engineering.
Changelog
| Version | Date | What's New |
|---|---|---|
| v2026.3 | May 2026 | Stability release โ bug fixes across order management, WebSocket reconnection and portfolio sync reconciliation. |
| v2026.2 | Mar 2026 | Added three broker integrations โ Alice Blue, Groww and Demo broker โ bringing total supported brokers to eight. |
| v2026.1 | Feb 2026 | Initial release โ multi-broker trading platform with five broker integrations, algo engine, real-time market data and full admin console. |
Blog & Resources
Stay updated with the latest trends, guides and case studies on trading platform development and multi-broker infrastructure.
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FAQ
Everything you need to know about the Miracuves Zerodha Clone.
A ready-made, white-label trading platform with order management, live market data, portfolio tracking and algorithmic execution โ connected to eight Indian brokers through one unified layer.
Yes. You launch under your own branding and assets, integrating with brokers via their official public APIs and complying with SEBI requirements applicable to your operating model.
The Miracuves Zerodha Clone starts from $15,999 for a launch-ready white-label deployment. Building equivalent capability internally typically runs into crores over 12โ18 months.
Six days from our side. Rebranding the platform and deploying it to your server is done in under six days. What sits outside that is anything on your side โ brand assets, hosting access and broker API credentials โ and, for a regulated deployment, your own SEBI registration and compliance sign-off, which run on their own timeline.
Zerodha, Upstox, 5 Paisa, Alice Blue, Angel One, ICICI Direct, Groww, and a Demo broker for testing and onboarding.
Yes. Each broker implements a single adapter interface. Adding one requires implementing that adapter โ no changes to order, trade or position logic.
Indian markets are supported out of the box. International integrations โ Dow Jones, NASDAQ, NYSE and others โ are available as a customization.
Yes. You receive the complete monorepo โ Next.js frontend, NestJS backend, Prisma schema, shared packages and all seven SDKs โ with full ownership.
It ships with OWASP Top 10 mapping, a VAPT posture document, AES-256 encryption, TOTP 2FA, RBAC and immutable audit logs โ documented for procurement review.
Brokerage per trade, subscription tiers, API access plans, broker referral revenue and payment margin โ all configurable from the admin console.
Yes. Cloud, on-premise and hybrid deployments are all supported, including Indian data residency for operators with regulatory requirements.
Deployment assistance, technical documentation, and post-launch support. Extended support and dedicated VAPT are available as add-ons.
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